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Title: Applications of pattern recognition in medicine
Author: Thompson, John Richard
ISNI:       0000 0001 3528 606X
Awarding Body: Open University
Current Institution: Open University
Date of Award: 1986
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This dissertation considers three aspects of the problems involved in applying pattern recognition methods to large medical data sets. The specific examples considered are the diagnosis of depression from subjectively assessed symptoms, the diagnosis of heart disease from a ballistocardiogram and the diagnosis of liver disease from a liver scan. A new method of variable selection is proposed that involves the elimination of already classified cases. This effectively reduces a multidimensional problem to a series of simpler univariate stages. An alternative to the transformation methods of feature selection is also investigated. This uses the technique known as principal coordinate analysis which, it is argued, should give better results than many of the commonly used techniques. A method of partial discrimination using tolerance intervals and convex hulls is developed. This work includes a new algorithm, the first to allow the convex hull to be found in any number of dimensions. Initial misclassification is shown to be a particular problem with the liver scan data and an iterative method for overcoming such errors is suggested. This method is used to modify the linear discriminant function and the nearest neighbour analysis and its performance is studied.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Keywords: Medical information monitoring